An overview of mapping techniques for exploratory pattern analysis

摘要

We present an extensive review of mapping techniques for exploratory pattern analysis. We place these techniques in eight major groups. Among them is our own innovation—the least squares mapping. We also introduce a method that accelerates and increases the precision of mappings based on the Fisher discriminant.In a sequel, to be published in this journal, we describe experiments that show that mapping techniques can be a versatile and powerful tool for cluster analysis and classifier design.